Data Analytics intern
Codingsthan Technologies
Jaipur, Rajasthan, IndiaFresher4h agovia LinkedIn
This job at a glance
- Who can apply
- Freshers and up to 1 year
- Must know
- Data analysisPythonSQLExcel
- Nice to have
- Statistics
- Work
- On-site in Jaipur · internship
- Pay
- Not stated by the employer.
- Skill demand
- Data analysis82%Excel70%SQL67%Python55%of 99 similar fresher jobs posted in India this week
- Listed
- 11 Nov 2026 · still open
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About the Role
The Data Analytics Intern role at Codingsthan Technologies is a full-time, on-site position based in Jaipur. The internship provides hands-on experience, mentorship from experienced professionals, and a pathway to grow in data and technology roles.
Key Responsibilities
- Assist in collecting, cleaning, and organizing data from various sources.
- Help prepare datasets for analysis.
- Perform exploratory data analysis.
- Support data modeling efforts.
- Generate basic reports and visualizations to communicate insights.
- Collaborate with senior analysts and project teams to understand business requirements.
- Document findings and contribute to data-driven decision-making.
- Learn and apply data management best practices.
- Participate in team meetings and reviews.
Requirements & Tech Stack
- Data Analytics and Data Analysis skills for interpreting and deriving insights from datasets.
- Solid Analytical Skills to identify trends, patterns, and relationships in data.
- Data Management skills to organize, maintain, and handle data securely and efficiently.
- Foundational Data Modeling skills to support the design and structure of data for reporting and analysis.
- Basic knowledge of statistics.
- Familiarity with spreadsheets or data analysis tools (e.g., Excel, SQL, Python, or R) is beneficial.
- Strong attention to detail.
- Problem-solving ability.
- Willingness to learn in a fast-paced environment.
- Effective communication skills.
- Ability to work collaboratively on-site with cross-functional teams in Jaipur.
Qualifications
- Pursuing or having completed a degree in Computer Science, Data Science, Statistics, Engineering, or a related field is preferred.